Transaction
ID: 89fa07a544...9d9d
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.016 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
8
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.016 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
79,694.55
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 8,203
Total coins transferred: 0.019 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000515 ERG
Raw Transaction Data
{
"id": "89fa07a544cbf7a472051db8df31da281ccd24de9a20a9ebee78735f1ea09d9d",
"blockId": "cb25d6037658cd6c1b675e90c22b7273a7e5069c632de215e26d5e7cf2de1089",
"inclusionHeight": 1763773,
"timestamp": 1776159907336,
"index": 11,
"globalIndex": 10597202,
"numConfirmations": 8203,
"inputs": [
{
"boxId": "b718377cfae5a737615b6e69f67fa1fbc6a417f8336c70c41ce97703728ac603",
"value": 16000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f4ae7ee082a70305b32558c5e128b40d830bb459d058e471d4a6301488a4d006",
"outputTransactionId": "5bb8ee61a96104e01f247bcaa1bf48a5acdee42d10c47224b0337530bbace99b",
"outputIndex": 0,
"outputGlobalIndex": 54560785,
"outputCreatedAt": 1757904,
"outputSettledAt": 1757906,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(67,56,6,24,-70,6,78,72,40,44,-53,-2,-13,118,83,-19,-22,119,-40,18,-10,-19,-56,-14,41,-109,-31,-24,12,-84,-100,8)\n22: 0\n23: 0\n24: -1\n25: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82",
"index": 1,
"amount": 8999999984015274,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "1eaf32e2dafc2706e6d5641903eb612637af6a4d970700d452b08e2612b32b39",
"index": 2,
"amount": 8999999997000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 13045999,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
}
},
{
"boxId": "1c986f923784eb354941c21711ed3c0a9997594199a48dc375cb4da423a83ef4",
"value": 3000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "855d8af5b3e5476419b3243042262df24869d85e8e1359ceb4944223af0f46a1",
"outputTransactionId": "1c1ef90a673d6661c7c95cf984114fc4b345723b1e75f3b31a8bfb75e6ca3e26",
"outputIndex": 0,
"outputGlobalIndex": 54723518,
"outputCreatedAt": 1763766,
"outputSettledAt": 1763768,
"ergoTree": "100d040604000580897a0100040004000400010004040400040001000100d1d801d601e4c6a7040e958fb1a57300d803d602b2a5730100d603c67202040ed604db63087202edededed93c2720272019099c1a7c17202730295e6720393e47203c5a77303927ea305e4c6a706059594b17204730493b27204730500b2db6308a77306007307d803d602b2a5730800d603db63087202d604c67202070eeded93c2720272019591b172037309d801d605b27203730a00ed938c720501e4c6a7070e928c720502e4c6a70505730b95e6720493e47204c5a7730c",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: false\n4: 0\n5: 0\n6: 0\n7: false\n8: 2\n9: 0\n10: 0\n11: false\n12: false",
"ergoTreeScript": "{sigmaProp(\n val coll1 = SELF.R4[Coll[Byte]].get\n if (OUTPUTS.size < placeholder[Int](0)) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n val opt3 = box2.R4[Coll[Byte]]\n val coll4 = box2.tokens\n (\n (\n ((box2.propositionBytes == coll1) && (SELF.value - box2.value <= placeholder[Long](2))) && if (opt3.isDefined) { opt3.get == SELF.id } else {\n placeholder[Boolean](3)\n }\n ) && (HEIGHT.toLong >= SELF.R6[Long].get)\n ) && if (coll4.size != placeholder[Int](4)) { coll4(placeholder[Int](5)) == SELF.tokens(placeholder[Int](6)) } else { placeholder[Boolean](7) }\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](8))\n val coll3 = box2.tokens\n val opt4 = box2.R7[Coll[Byte]]\n ((box2.propositionBytes == coll1) && if (coll3.size > placeholder[Int](9)) {(\n val tuple5 = coll3(placeholder[Int](10))\n (tuple5._1 == SELF.R7[Coll[Byte]].get) && (tuple5._2 >= SELF.R5[Long].get)\n )} else { placeholder[Boolean](11) }) && if (opt4.isDefined) { opt4.get == SELF.id } else { placeholder[Boolean](12) }\n )}\n)}",
"address": "KeFZdXyRkmbbDumvWSR1sijFcEbnqF7EL3YprErvspPHs3wmQ3qcD64X5JdjYARbxF4SAYivys3FgqfDgdjQNoa5ULahXEY4SAQNPPK6VLZFMGHjBmzgo7CS5MTDxcuxLvrFUZVHthy2y5DK7Bf7TqUC5TQoVFQxEgsLNpHSd5eG7s9KoGdVY2H1s4HhiEgAzUTmTqiQSaeUr4qpn8erxg8ajR74W4bVyBzovJ8oduDiHPznnrCZnZBhU3NdjLre3MDBHqEkrHnpR9hkEgACDxDLaS8cvaLXsRdejY9qaohVs",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 8032204,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "05c08dc307",
"sigmaType": "SLong",
"renderedValue": "7889760"
},
"R6": {
"serializedValue": "05a8a7d701",
"sigmaType": "SLong",
"renderedValue": "1763796"
},
"R8": {
"serializedValue": "0e2000fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e",
"sigmaType": "Coll[SByte]",
"renderedValue": "00fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e"
},
"R7": {
"serializedValue": "0e200ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82",
"sigmaType": "Coll[SByte]",
"renderedValue": "0ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82"
},
"R9": {
"serializedValue": "0598f703",
"sigmaType": "SLong",
"renderedValue": "32204"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
}
],
"dataInputs": [
{
"boxId": "b2c6eb11cbaef43bc1246d5a1bbe49109e8666432a911b310d49adb3f02ab56a",
"value": 1000000,
"index": 0,
"outputBlockId": "29a3c5e1f038c1099d395c9bf889a3cb8243b3076e092259e5363dc3ee43fb7e",
"outputTransactionId": "ab7d59d1d5ed8f9287a68d7c58dad297ba7d21c80c7b3d10b25697edc74ef03c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05da90d201",
"sigmaType": "SLong",
"renderedValue": "1721389"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "1baf348d0794443ab06c62cf0fb78ab722c6d96fab68648552a952fb6ce78240",
"value": 6000000,
"index": 1,
"outputBlockId": "dbd364c462327ffccc20a93a73fe92dbb65c7cbfcfd15f71ba8647087e61d0f1",
"outputTransactionId": "aa38fcd1eedf8154cfad9d30297b3758ab6a9e2f0cc0b7e7c66f9476563fb5db",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a052056bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e822034182b1fdad3b8fc3cdc74cef055ae00dd3b0c6ccf5b9612d68bfc3ae06e928e2016661a0a4fbe147b037b4099f09f839c587a38fee6fa8c5c4f12d05a5405268b2015ff840fa5f044fd04f37c6efa585582f2136024746bc818dc3cf6ae52991b9f200358da23bf1498f2cde41ef66c036535aa4a49521ba1dab18ad51a798f70d8af",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[56bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82,34182b1fdad3b8fc3cdc74cef055ae00dd3b0c6ccf5b9612d68bfc3ae06e928e,16661a0a4fbe147b037b4099f09f839c587a38fee6fa8c5c4f12d05a5405268b,15ff840fa5f044fd04f37c6efa585582f2136024746bc818dc3cf6ae52991b9f,0358da23bf1498f2cde41ef66c036535aa4a49521ba1dab18ad51a798f70d8af]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "15252828ddc7cdda957ac158ffb3f7c96447824f8bd403a0ec048346b5bf4104",
"transactionId": "89fa07a544cbf7a472051db8df31da281ccd24de9a20a9ebee78735f1ea09d9d",
"blockId": "cb25d6037658cd6c1b675e90c22b7273a7e5069c632de215e26d5e7cf2de1089",
"value": 16000000,
"index": 0,
"globalIndex": 54723621,
"creationHeight": 1763772,
"settlementHeight": 1763773,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(67,56,6,24,-70,6,78,72,40,44,-53,-2,-13,118,83,-19,-22,119,-40,18,-10,-19,-56,-14,41,-109,-31,-24,12,-84,-100,8)\n22: 0\n23: 0\n24: -1\n25: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
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"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
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{
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{
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"sigmaType": "SBoolean",
"renderedValue": "true"
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{
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(f0dbaa,8779c5,...)))\n1: true",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(placeholder[Boolean](1))}",
"address": "AfH6a9vogFX8tbdWeNTuzykShmKr9ysqZbWwAN7CBnG3mkMx1Mw4JRQS6yS8ZGZmf7cXd",
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"index": 0,
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"name": "QUACKS",
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
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"sigmaType": "SLong",
"renderedValue": "0"
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"R5": {
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{
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],
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}